
Moonshot AI and Zhipu AI have launched new open weight coding models named Kimi K2.7 and GLM-5.2, respectively. These models are part of a growing trend towards open-source AI tools that provide developers with more flexibility and control. The release of these models is expected to enhance coding capabilities and foster innovation in AI development.
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© Lev SelectorReports indicate OpenAI is targeting a valuation of $1.5 trillion in its next funding round, reflecting massive investor confidence.
© Lev SelectorThis release quietly cements llama.cpp as the universal inference runtime by finally bringing first-class ROCm 10.0 support to both Linux and Windows. AMD GPU users no longer need workarounds, effectively closing a long-standing parity gap with NVIDIA's CUDA ecosystem. Equally notable is the new Linux arm64 build targeting Snapdragon chips, which unlocks local AI on high-performance mobile hardware via CPU, Adreno GPU, and Hexagon NPU acceleration. While KleidiAI on Apple Silicon has been disabled in this specific binary, the broader platform expansion signals that llama.cpp is aggressively standardizing how models run across every major silicon architecture.
The latest b10989 release of llama.cpp continues its trend of broadening platform compatibility, now supporting a wide array of systems including macOS, Linux, Windows, and openEuler. Notably, this update includes support for CUDA 13.3 libraries on Ubuntu and Windows, as well as ROCm 10.0, enhancing its utility for AMD GPU users. While KleidiAI support is disabled on macOS, the release still marks a significant step in making llama.cpp a versatile tool for developers across different hardware configurations. This update doesn't introduce new models but focuses on expanding the accessibility of existing capabilities.
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GLM 5.2 Emerges as Leading Open Weights Model
6 developments
AI infrastructure firms Cohere and Aleph Alpha have announced a merger valued at $20 billion, creating a major player in the enterprise AI market.